ToolPicker
AWS Rekognition (Moderation)

AWS Rekognition (Moderation)

36/100

Image & video content moderation via DetectModerationLabels.

aws.amazon.com

// scorecard · 36/100

verified 1mo ago
methodology →
Agent-readiness20/35
Agent registration (api_key)6/9
Public API5/5
OpenAPI spec0/9
MCP server9/9
llms.txt0/3
Reliability & performance0/15
Actively maintained
Production-ready0/4
Updated recently
Pricing0/13
Itemized public pricing0/6
Free tier / trial0/4
Free-tier generosity
Docs & DX2/12
Docs quality
Public API2/2
Quickstart / examples0/2
Security & compliance8/12
SOC 26/6
ISO 270010/2
GDPR0/2
Security / trust page2/2
Openness4/10
Open source0/6
Open / un-gated API4/4
Company maturity2/3
Company size2/2
Years operating

// rankings · cost per standard workload

#5 in Content Moderation$100/ 100k items

Image $1.00/1k x100k = $100/mo (US-East tier 1)

aws.amazon.com/rekognition/pricing

// overview

Amazon Rekognition Content Moderation automates image and video moderation workflows using machine learning to detect inappropriate content such as explicit adult or suggestive material, violence, drugs, tobacco, alcohol, hate symbols, gambling, and disturbing content. It provides fully managed APIs, a hierarchical taxonomy for granular rules, age verification via Face Liveness, custom model training with Custom Labels, and integration with Amazon A2I for human review. It supports use cases in social media, gaming, and ecommerce with pay-per-use pricing and no upfront commitments.

Best for: Automating content moderation for images/videos on social media, gaming, and ecommerce platforms

// security & compliance

SOC 2 ISO 27001 GDPR HIPAA

// features

  • Detect explicit, violent, drug, hate symbol, gambling and disturbing content in images/videos
  • Hierarchical taxonomy with confidence scores and timestamps
  • Age estimation and Face Liveness for user verification
  • Custom moderation models via Amazon Rekognition Custom Labels
  • Integration with Amazon A2I for human review of low-confidence results
  • Automate flagging of up to 95% of unsafe content

sources